A Novel Fractional Autocorrelation Based Feature Extraction Approach for Radar Emitter Signals

摘要：

An effective approach to extract the features of ambiguity function main ridge (AFMR) slice of radar emitter signals is proposed,in which fractional autocorrelation is used to search the AFMR,and moment method is adopted to describe the distribution characteristics of AFMR slice.The results of theoretical analysis and simulation experiments show that,the extracted characteristics vector of AFMR slice clearly expresses the differences of waveform in different signals,and it has strong compactness within clusters and good ability to resist noise.So it can be served as the optional parameter of deinterleaving for complicated radar emitter signals.

作者: Yunwei PU Jianhua WANG Weidong JIN

作者单位: Computer Center,Kunming Univ.of Science and Tech.,Kunming 650093,China; School of Electric Eng.,Southwest Jiaotong Univ.,Chengdu 610031,China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）